Machine reading comprehension is one of the key problems in natural language understanding. The question answering (QA) task requires a machine to read and comprehend a given text passage, and then answer questions about the passage. There is progress in reading comprehension and question answering for English and a few other languages. We would like to fill in the lack of annotated data for question answering for Norwegian. This project aims at compiling human-created training, validation, and test sets for the task for Norwegian. To our knowledge this would be the first question answering dataset in Norwegian. Creation of the dataset will be an important step for Norwegian natural language processing, considering the importance and popularity of reading comprehension and question answering tasks in the NLP community.
The accompanying paper by Ivanova et al. at NODALIDA 2023 describes the dataset in more detail.
The project is funded by the Teksthub-initiative
Project co-leaders: Sardana Ivanova and Lilja Øvrelid
Annotators: Fredrik Aas Andreassen and Matias Jentoft
If you publish work that uses or references the data, please cite our NODALIDA article. BibEntry:
@InProceedings{IvaAndJen2023,
author = {Sardana Ivanova, Fredrik Aas Andreassen, Matias Jentoft, Sondre Wold and Lilja {\O}vrelid},
title = {NorQuAD: Norwegian Question Answering Dataset},
booktitle = {Proceedings of the 24th Nordic Conference on Computational Linguistics},
year = {2023},
address = {Torshavn, Pharoe Islands},
}